ISSN: -
Abbreviated Title: J Trustworthy Explain Intell Syst
Current Issue: Vol 5, Issue 1 (2026)
The Journal of Trustworthy and Explainable Intelligent Systems is an international, peer-reviewed, open access journal published by Transparent Intelligence Publishing. The journal focuses on research that makes intelligent systems more trustworthy, explainable, safe, reliable, secure, fair, accountable, and understandable to the people who develop, evaluate, govern, and use them.
JTEIS provides a scientific platform for researchers, engineers, academics, industry professionals, and policymakers to exchange research and applied knowledge on trustworthy and explainable artificial intelligence and intelligent systems. The journal promotes interdisciplinary work spanning AI and machine learning, human-computer interaction, cybersecurity, robotics and autonomous systems, cognitive science, AI ethics, and governance.
The journal publishes research on explainable AI, interpretable learning, robustness and reliability, AI safety and assurance, privacy and security, fairness and accountability, uncertainty and calibration, causal and counterfactual explanation, human-AI interaction, responsible AI governance, and trustworthy autonomous and cyber-physical systems. JTEIS welcomes new methods, computational frameworks, evaluation protocols, system-level solutions, and practical applications that improve justified trust and meaningful understanding of intelligent-system behavior.
All submitted manuscripts undergo an initial editorial assessment followed by a double-blind peer-review process. Editorial decisions are based on scientific quality, originality, methodological rigor, ethical compliance, and relevance to the journal’s aims and scope.
JTEIS supports open access publishing to facilitate broad dissemination of scientific knowledge. Accepted articles are made freely available in accordance with the journal’s copyright and licensing policies, enabling researchers and practitioners to access and build upon published findings.
Through interdisciplinary scholarly communication, the Journal of Trustworthy and Explainable Intelligent Systems supports research on intelligent systems whose behavior, limitations, risks, and decisions can be evaluated, explained, and governed with appropriate technical and human oversight.
The Journal of Trustworthy and Explainable Intelligent Systems is published
Editor-in-Chief
Professor Nei Kato
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Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
Speed data is updated every six months, based on the prior six months. Speed data is only available where a journal has made more than 10 decisions of that type in the time period. Speed metrics are averages; some manuscripts will take longer than this. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics.
Content Access: the total number of times articles in the journal were viewed/downloaded by users of Transparent Intelligence Publishing.
Impact Factor: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor: the average number of citations received by articles in the journal within a five-year window.
CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months. This includes manuscripts which are not sent for peer review (desk rejections). Manuscripts which are sent out for review can therefore have a significantly longer wait than this metric indicates.
From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
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